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Capgemini

Global consulting, technology services, outsourcing

AI Engineer-Data Scientist

AI Application EngineeringUpdated on Nov 14
Full-time

About the Job

Requirements

  • At least 5 years of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.
  • Strong programming experience with Python and SQL.
  • Experience developing and integrating REST APIs, JSON, HTTP protocols, and authentication/token-based security.
  • Strong understanding of API integration, documentation, and enterprise application connectivity.
  • Hands-on experience with Generative AI, Large Language Models, and modern AI frameworks.
  • Experience working with GPT, Claude, Stable Diffusion, and similar foundation models.
  • Strong experience with LangChain and LLM orchestration frameworks.
  • Experience developing machine learning solutions using TensorFlow and related AI/ML technologies.
  • Knowledge of NLP, prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation.
  • Experience designing and deploying AI agents and agentic workflows.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Responsibilities

  • Develop and implement Generative AI and Predictive AI models for enterprise use cases.
  • Build AI solutions involving NLP, computer vision, classification, regression, and clustering techniques.
  • Design and integrate AI applications using APIs, REST services, authentication frameworks, and cloud-native platforms.
  • Develop AI agents, agentic workflows, and autonomous systems for process automation and decision-making.
  • Implement Retrieval-Augmented Generation and LLM-powered applications.
  • Deploy, monitor, and optimize AI models in production environments using MLOps best practices.
  • Design and maintain scalable data pipelines, data lakes, and data warehouse solutions.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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